1 research outputs found
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Wing disc pouches of fruit flies are a powerful genetic model for studying
physiological intercellular calcium () signals for dynamic analysis of
cell signaling in organ development and disease studies. A key to analyzing
spatial-temporal patterns of signal waves is to accurately align the
pouches across image sequences. However, pouches in different image frames may
exhibit extensive intensity oscillations due to signaling dynamics,
and commonly used multimodal non-rigid registration methods may fail to achieve
satisfactory results. In this paper, we develop a new two-phase non-rigid
registration approach to register pouches in image sequences. First, we conduct
segmentation of the region of interest. (i.e., pouches) using a deep neural
network model. Second, we obtain an optimal transformation and align pouches
across the image sequences. Evaluated using both synthetic data and real pouch
data, our method considerably outperforms the state-of-the-art non-rigid
registration methods.Comment: Accepted at ISBI 201